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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. 3-RES-JB
    11. 2996
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    Explanations

    references to advertisements

    oai_token-act-pair · gpt-3.5-turbo

    mentions of advertisements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uckle
    -0.84
    ĨĴ
    -0.72
    theless
    -0.71
    ignt
    -0.67
     Caribbean
    -0.67
    20439
    -0.66
     Strait
    -0.66
     Cyprus
    -0.66
    Jr
    -0.66
     hatch
    -0.65
    POSITIVE LOGITS
    vertising
    1.14
    ieu
    1.05
    elaide
    1.05
    vertis
    1.04
     hoc
    1.02
    idas
    1.02
    hesion
    1.01
    roit
    1.01
    verts
    0.97
     nause
    0.96
    Activations Density 0.019%

    No Known Activations