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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. 16431
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    Explanations

    mentions of specific events or entities along with an associated action or outcome

    oai_token-act-pair · gpt-3.5-turbo

    sentences that reference populations or groups of people, often in the context of societal issues

    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
    onite
    -0.83
     extinct
    -0.81
     regenerate
    -0.74
     trader
    -0.68
     cockpit
    -0.67
     sauces
    -0.67
     dinosaur
    -0.67
    uminium
    -0.66
     cameo
    -0.66
     fishes
    -0.65
    POSITIVE LOGITS
     Immediately
    1.31
     Shortly
    1.24
     Months
    1.10
    Shortly
    1.06
     Within
    1.03
     Afterwards
    0.99
     Following
    0.99
     Since
    0.98
     Today
    0.97
     Forty
    0.94
    Activations Density 0.644%

    No Known Activations