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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 5244
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    Explanations

    references to actions or events involving someone being affected by specific individuals or groups

    oai_token-act-pair · gpt-3.5-turbo

    references to entities and their actions or contributions in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    luaj
    -0.81
    ãĥİ
    -0.80
    TPP
    -0.79
    ãĥīãĥ©ãĤ´ãĥ³
    -0.78
    ahime
    -0.78
    2020
    -0.77
    ãĥł
    -0.75
    ãĥ£
    -0.74
    ãĤ¨ãĥ«
    -0.73
    ãĤ½
    -0.73
    POSITIVE LOGITS
     superiors
    1.61
     supervisors
    1.43
     supervisor
    1.35
     administrators
    1.30
     therapist
    1.29
     manager
    1.27
     authorities
    1.25
     classmates
    1.25
     psychologist
    1.25
     psychiatrist
    1.24
    Activations Density 0.422%

    No Known Activations