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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. 1113
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    Explanations

    references to historical events and data

    oai_token-act-pair · gpt-3.5-turbo

    statistical references and trends in historical contexts

    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
     hereafter
    -0.68
    morrow
    -0.55
     tomorrow
    -0.55
     negro
    -0.53
    ?".
    -0.53
    !".
    -0.52
    future
    -0.52
    âĢ¦]
    -0.51
     afterwards
    -0.50
     someday
    -0.50
    POSITIVE LOGITS
     brunt
    0.52
     bustling
    0.51
    luster
    0.50
     relatively
    0.49
     crowded
    0.47
     flurry
    0.46
    oriented
    0.46
     clustered
    0.45
    ²¾
    0.45
     busy
    0.44
    Activations Density 1.183%

    No Known Activations