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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. 9-RES-JB
    11. 15418
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    Explanations

    verbs related to actions or decisions that can have an impact on others

    oai_token-act-pair · gpt-3.5-turbo

    actions related to interaction and emotional impact

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     )]
    -0.61
    vg
    -0.61
    CVE
    -0.60
    hawks
    -0.58
    union
    -0.58
    ilts
    -0.58
    utenberg
    -0.57
    Above
    -0.56
    eded
    -0.56
    foundland
    -0.55
    POSITIVE LOGITS
     yourself
    2.12
     yourselves
    1.93
     your
    1.51
     Yourself
    1.41
     YOUR
    1.26
    your
    1.10
    Your
    1.06
     Your
    1.06
     oneself
    0.95
     yours
    0.94
    Activations Density 1.132%

    No Known Activations