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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
    11. 9507
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    Explanations

    names of specific people

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific locations or transportation hubs

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ
    -0.79
    ++)
    -0.72
    alogue
    -0.71
    iencies
    -0.71
    arget
    -0.68
    =>
    -0.68
    Mine
    -0.67
     Mehran
    -0.66
    VERTISEMENT
    -0.64
    ++
    -0.63
    POSITIVE LOGITS
    ailability
    0.90
    igham
    0.79
    vu
    0.75
    unic
    0.71
    akeru
    0.69
    esi
    0.69
    ahi
    0.68
    rency
    0.66
    jri
    0.65
    gap
    0.64
    Activations Density 0.298%

    No Known Activations