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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. 5009
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    Explanations

    phrases related to social issues and political commentary

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating skepticism or critique of established systems and promises

    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
    YES
    -0.74
    ACC
    -0.70
    ESE
    -0.68
    éŃĶ
    -0.66
     sidx
    -0.66
    onds
    -0.65
    nect
    -0.65
     NOTE
    -0.64
    hess
    -0.63
    fort
    -0.63
    POSITIVE LOGITS
     flashy
    1.14
     gimm
    1.09
     blindly
    1.02
     simplistic
    1.01
     mindless
    1.00
     gimmick
    1.00
     rigid
    0.99
     predetermined
    0.96
     mere
    0.93
     dogma
    0.92
    Activations Density 0.655%

    No Known Activations