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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. 8-RES-JB
    11. 8082
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    Explanations

    phrases related to individual actions or responses

    oai_token-act-pair · gpt-3.5-turbo

    segments of text that involve the concept of "part" or participation in an action or event

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itton
    -0.71
    ilial
    -0.70
    olesc
    -0.70
    CENT
    -0.68
    ricane
    -0.67
    anth
    -0.65
     millenn
    -0.64
    elist
    -0.64
    Tokens
    -0.64
     sleeper
    -0.61
    POSITIVE LOGITS
     guiActiveUn
    0.74
    reads
    0.67
    urers
    0.66
    ridges
    0.65
     Gibbs
    0.64
     Buckingham
    0.61
    Footnote
    0.60
    eva
    0.60
    uary
    0.60
    ography
    0.60
    Activations Density 0.028%

    No Known Activations