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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. 9-RES-JB
    11. 17422
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    Explanations

    phrases related to challenges or difficulties

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "difficult" and its variations in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Kings
    -0.68
    endar
    -0.68
    oak
    -0.65
    gemony
    -0.63
    nesty
    -0.60
    ALK
    -0.59
    ournal
    -0.59
    ablish
    -0.59
    illance
    -0.59
    isd
    -0.58
    POSITIVE LOGITS
    ioned
    0.96
     terrain
    0.88
    coded
    0.82
    icult
    0.79
    pmwiki
    0.79
     enough
    0.74
     forgiving
    0.72
     to
    0.72
     task
    0.70
     toget
    0.70
    Activations Density 0.054%

    No Known Activations