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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. 3189
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    Explanations

    expressions related to wishes, desires, and hypothetical situations

    oai_token-act-pair · gpt-3.5-turbo

    expressions of desire or hypothetical scenarios

    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
     \'
    -0.59
     dramas
    -0.59
    SK
    -0.59
    internal
    -0.58
    ilon
    -0.56
    kee
    -0.55
    auga
    -0.55
    emis
    -0.55
     Pace
    -0.54
     SPR
    -0.54
    POSITIVE LOGITS
    «
    0.77
    aeda
    0.73
     dearly
    0.71
     feas
    0.69
     unthinkable
    0.66
     sooner
    0.60
    acea
    0.59
     hypot
    0.59
     TAMADRA
    0.59
    ]}
    0.57
    Activations Density 0.450%

    No Known Activations