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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. 6-RES-JB
    11. 18904
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    Explanations

    references to the media and its portrayal or influence

    oai_token-act-pair · gpt-3.5-turbo

    references to the media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vasive
    -0.78
    ta
    -0.75
    erville
    -0.74
    compatible
    -0.68
    owsky
    -0.68
    combe
    -0.68
    nants
    -0.67
    acterial
    -0.65
     Pis
    -0.63
    nance
    -0.62
    POSITIVE LOGITS
    eval
    1.25
     outlets
    1.20
     outlet
    1.03
     circus
    0.92
     mog
    0.90
     pundits
    0.88
     coverage
    0.85
     broadcasters
    0.83
     blackout
    0.82
     watchdog
    0.82
    Activations Density 0.036%

    No Known Activations