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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. 9-RES-JB
    11. 13695
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    Explanations

    phrases related to statements or attributions

    oai_token-act-pair · gpt-3.5-turbo

    statements attributed to various speakers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cffffcc
    -0.67
    wake
    -0.66
    respective
    -0.65
    Lex
    -0.64
    à¦
    -0.62
    ãĤ
    -0.60
    nerg
    -0.60
    isoft
    -0.60
    spl
    -0.58
    rop
    -0.58
    POSITIVE LOGITS
     goodbye
    0.79
    olate
    0.77
    ysis
    0.70
    olated
    0.69
    omething
    0.69
     thats
    0.67
     they
    0.67
    ynthesis
    0.66
    ometimes
    0.63
    plates
    0.60
    Activations Density 0.192%

    No Known Activations