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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. 11746
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    Explanations

    phrases related to efforts or actions being taken towards a specific goal

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express intentions or efforts related to various causes or actions

    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
    quickShipAvailable
    -0.78
     Klu
    -0.71
     Rai
    -0.66
     Acting
    -0.65
    acted
    -0.63
    felt
    -0.63
    arious
    -0.61
    furt
    -0.61
    FX
    -0.60
     replies
    -0.58
    POSITIVE LOGITS
     eradicate
    1.31
     improve
    1.23
     promote
    1.23
     educate
    1.19
     legalize
    1.07
     dismantle
    1.06
     conserve
    1.06
     discredit
    1.05
     rehabilit
    1.04
     eliminate
    1.04
    Activations Density 0.172%

    No Known Activations