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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
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    Explanations

    phrases expressing hope or optimism

    oai_token-act-pair · gpt-3.5-turbo

    expressions of optimism or expectation

    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
    bara
    -0.78
    hide
    -0.77
    board
    -0.75
    insula
    -0.74
    plate
    -0.73
    iya
    -0.71
     Waste
    -0.70
    ente
    -0.69
    ks
    -0.69
    ket
    -0.67
    POSITIVE LOGITS
     someday
    0.91
     compens
    0.77
     bom
    0.74
     aspire
    0.73
     hopefully
    0.70
    ĵĺ
    0.68
     acqu
    0.68
     reside
    0.67
     Âł Âł Âł Âł
    0.67
     Pengu
    0.66
    Activations Density 0.010%

    No Known Activations