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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. 11797
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    Explanations

    instances of failure or negative outcomes

    oai_token-act-pair · gpt-3.5-turbo

    negative actions or failures in a context, particularly in political or controversial 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
    raft
    -0.70
    eah
    -0.64
    eg
    -0.61
    erenn
    -0.60
    erg
    -0.59
    advertising
    -0.59
     [+]
    -0.58
    ieth
    -0.58
    ¯
    -0.58
    MSN
    -0.57
    POSITIVE LOGITS
     accordingly
    1.05
     thereafter
    0.90
     herself
    0.88
     himself
    0.79
     oneself
    0.79
     afterwards
    0.74
     nonetheless
    0.72
     afterward
    0.72
     thereby
    0.67
     themselves
    0.63
    Activations Density 0.695%

    No Known Activations