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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
    11. 7742
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    Explanations

    proper nouns or names used to identify specific entities

    oai_token-act-pair · gpt-3.5-turbo

    phrases that denote established identifications or recognitions

    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
    prus
    -0.83
    otion
    -0.83
    plet
    -0.83
    oton
    -0.82
    erva
    -0.78
    otom
    -0.78
    cel
    -0.77
    otos
    -0.77
    veyard
    -0.76
    celer
    -0.74
    POSITIVE LOGITS
    NESS
    0.85
     Known
    0.83
     known
    0.78
    comings
    0.76
    л
    0.76
    ledged
    0.72
    ãĤ¤
    0.72
    =]
    0.71
     BaseType
    0.71
    ãĥĥãĥĪ
    0.71
    Activations Density 0.034%

    No Known Activations