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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. 11-RES-JB
    11. 14594
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    Explanations

    phone numbers in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of parentheses and words related to posting or publication

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enance
    -0.64
    ammy
    -0.63
    SPONSORED
    -0.57
     lobb
    -0.55
    Redditor
    -0.54
    adesh
    -0.54
     sacrific
    -0.54
     boiler
    -0.52
    ¨
    -0.50
    uries
    -0.50
    POSITIVE LOGITS
    ople
    0.58
    opes
    0.56
    ecast
    0.55
    nic
    0.54
    rett
    0.53
    utz
    0.52
    opal
    0.51
     Can
    0.51
    can
    0.51
    utable
    0.51
    Activations Density 0.208%

    No Known Activations