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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. 7-RES-JB
    11. 1452
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    Explanations

    action verbs related to work or performance

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to participation or involvement in activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     forgetting
    -0.80
    uyomi
    -0.79
    pmwiki
    -0.74
    catentry
    -0.74
     wont
    -0.69
    quickShipAvailable
    -0.67
     Explosion
    -0.66
    fortunately
    -0.64
    76561
    -0.63
     Bubble
    -0.62
    POSITIVE LOGITS
    dress
    0.79
    eport
    0.72
     alongside
    0.69
    heed
    0.69
     purposes
    0.67
     theirs
    0.67
    uke
    0.66
    enance
    0.64
    agine
    0.63
    cliffe
    0.63
    Activations Density 0.348%

    No Known Activations