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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. 13471
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    Explanations

    phrases indicating belonging or inclusion in a larger entity or concept

    oai_token-act-pair · gpt-3.5-turbo

    references to components or aspects that contribute to a larger whole

    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
    culosis
    -0.59
    stasy
    -0.59
    asu
    -0.58
    ITH
    -0.57
    izu
    -0.57
    opa
    -0.56
    ongo
    -0.55
    æ©
    -0.55
     pores
    -0.55
    balance
    -0.54
    POSITIVE LOGITS
    aking
    1.02
    icularly
    0.95
    nered
    0.93
    ially
    0.84
    icular
    0.84
    heartedly
    0.80
    ridge
    0.80
    ridges
    0.76
    icipated
    0.73
    ened
    0.70
    Activations Density 0.038%

    No Known Activations