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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. 11-RES-JB
    11. 1661
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    Explanations

    pronouns followed by forms of 'to be' and common verbs in questions

    oai_token-act-pair · gpt-3.5-turbo

    questions and statements about the reasons behind actions or beliefs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sqor
    -0.71
    dds
    -0.64
    iewicz
    -0.64
    ¶ħ
    -0.64
     consolation
    -0.63
    abase
    -0.61
    oret
    -0.59
     playbook
    -0.59
    jri
    -0.59
     glimpse
    -0.58
    POSITIVE LOGITS
     bother
    0.94
     Matters
    0.94
     chose
    0.90
     bothered
    0.81
     persist
    0.76
     matters
    0.75
     persists
    0.75
     bothering
    0.74
     so
    0.74
     singled
    0.74
    Activations Density 0.257%

    No Known Activations