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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. 3-RES-JB
    11. 4027
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    Explanations

    names, particularly ones starting with "Bl" and "ush"

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns or names related to specific figures or subjects in a context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ENSE
    -0.66
    IUM
    -0.66
    perature
    -0.65
     bun
    -0.65
     Gund
    -0.63
    ETH
    -0.63
    OHN
    -0.62
     Bulldogs
    -0.62
     Democr
    -0.61
    LER
    -0.61
    POSITIVE LOGITS
    umenthal
    1.21
    anca
    1.05
    izzard
    0.89
    acks
    0.89
    anche
    0.87
    ossom
    0.85
    azer
    0.83
    anches
    0.83
     Pact
    0.82
    anke
    0.79
    Activations Density 0.014%

    No Known Activations