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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. 0-RES-JB
    11. 7916
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    Explanations

    words related to tools or writing instruments

    oai_token-act-pair · gpt-3.5-turbo

    words related to a specific type of object associated with structural elements or materials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bands
    -0.72
     Grimoire
    -0.71
     Inferno
    -0.67
     Byrne
    -0.66
     Drac
    -0.64
     Maze
    -0.63
    iated
    -0.62
     Sakuya
    -0.62
     Brach
    -0.61
     Gohan
    -0.61
    POSITIVE LOGITS
    opol
    0.83
    Ń·
    0.82
    LECT
    0.74
    76561
    0.71
    opoly
    0.71
    RM
    0.71
     sten
    0.70
    IRO
    0.70
    ourn
    0.69
    Surv
    0.68
    Activations Density 0.000%

    No Known Activations