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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. 3608
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    Explanations

    references to murals, particularly about their creation and restoration

    oai_token-act-pair · gpt-3.5-turbo

    references to murals and street art

    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
    ARGET
    -0.73
    ologne
    -0.72
     Crusher
    -0.71
     Ballistic
    -0.70
    AMS
    -0.69
    OTAL
    -0.68
     Templar
    -0.68
    OHN
    -0.67
     Penal
    -0.67
    ONES
    -0.67
    POSITIVE LOGITS
     mur
    1.27
     mural
    1.10
    mur
    0.96
    ufact
    0.89
    itone
    0.79
     paintings
    0.76
     artwork
    0.75
    istor
    0.75
    tered
    0.74
     art
    0.73
    Activations Density 0.014%

    No Known Activations