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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. 2-RES-JB
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    Explanations

    adjectives related to being unable to see or perceive

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of being "blind," both literally and metaphorically

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xit
    -0.94
     Occupations
    -0.92
    AIN
    -0.72
    CE
    -0.72
    ickr
    -0.72
    ILY
    -0.70
    DN
    -0.70
    OPLE
    -0.69
    ICAN
    -0.69
    OTHER
    -0.66
    POSITIVE LOGITS
    blind
    1.38
     blind
    1.20
    sight
    1.09
    fold
    1.09
    sided
    1.01
    ibility
    0.98
     Blind
    0.92
     blinded
    0.89
    ingly
    0.89
    sighted
    0.85
    Activations Density 0.011%

    No Known Activations