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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. 4-RES-JB
    11. 11067
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    INDEX
    Explanations

    invitations to join events or communities

    oai_token-act-pair · gpt-3.5-turbo

    phrases that invite participation or attendance at events

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

    No Comments

    Negative Logits
    gran
    -0.73
    worthiness
    -0.58
    qus
    -0.58
     applied
    -0.57
     coating
    -0.56
     Phant
    -0.56
     accuracy
    -0.56
     gran
    -0.56
     dipped
    -0.56
    something
    -0.56
    POSITIVE LOGITS
     fray
    1.22
     ranks
    0.80
     chorus
    0.78
    oration
    0.73
     bandwagon
    0.73
    EStreamFrame
    0.71
    ende
    0.69
    anchester
    0.68
    ATTLE
    0.66
    orage
    0.66
    Activations Density 0.101%

    No Known Activations