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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. 18083
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    Explanations

    words related to habits or practices

    oai_token-act-pair · gpt-3.5-turbo

    words related to acclimatization or adaptation

    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
     organis
    -0.79
     neighbour
    -0.76
     symp
    -0.73
     Ging
    -0.70
     phylogen
    -0.68
     nutrit
    -0.68
     pals
    -0.68
     contribution
    -0.68
     phen
    -0.66
     casualty
    -0.65
    POSITIVE LOGITS
    imm
    0.76
    iola
    0.75
    esm
    0.74
    olves
    0.74
    icans
    0.73
    ilib
    0.72
    alion
    0.72
    ogg
    0.70
    avier
    0.69
     Winds
    0.68
    Activations Density 0.001%

    No Known Activations