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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. 6-RES-JB
    11. 756
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    Explanations

    words related to judgement or evaluation

    oai_token-act-pair · gpt-3.5-turbo

    assertions and claims regarding truthfulness or moral quality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    çīĪ
    -0.73
    azes
    -0.63
    mares
    -0.62
    oshop
    -0.61
    imer
    -0.61
    */(
    -0.59
     recall
    -0.58
    rises
    -0.57
    merce
    -0.57
    PsyNetMessage
    -0.57
    POSITIVE LOGITS
    achable
    0.85
    enough
    0.81
     worthwhile
    0.81
     enough
    0.78
    izable
    0.76
     worthy
    0.75
    acea
    0.73
     imminent
    0.72
    orable
    0.69
     Enough
    0.67
    Activations Density 0.637%

    No Known Activations