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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. 7097
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    Explanations

    communication methods, like receiving emails or phone calls

    oai_token-act-pair · gpt-3.5-turbo

    mentions of emails and phone calls

    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
    amina
    -0.75
    ivities
    -0.68
    oos
    -0.64
    ibles
    -0.63
    enne
    -0.60
    arcity
    -0.60
    atever
    -0.59
    ahime
    -0.58
    inka
    -0.58
    quished
    -0.58
    POSITIVE LOGITS
     informing
    1.07
     asking
    0.93
     requesting
    0.88
     notification
    0.87
     advising
    0.87
     thanking
    0.85
     reminding
    0.84
     wishing
    0.83
     from
    0.83
     indicating
    0.82
    Activations Density 0.181%

    No Known Activations