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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. 4-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    icial
    -0.77
    stru
    -0.76
    DEF
    -0.70
    rd
    -0.70
    axis
    -0.69
     Pigs
    -0.68
    hib
    -0.66
    marg
    -0.65
    Bra
    -0.65
    sid
    -0.64
    POSITIVE LOGITS
     address
    0.83
    antha
    0.81
     bearer
    0.76
     addr
    0.73
    idon
    0.73
    email
    0.73
     Address
    0.71
     addresses
    0.70
    holder
    0.68
    izon
    0.67
    Activations Density 0.014%

    No Known Activations