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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. 6-RES-JB
    11. 16635
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    INDEX
    Explanations

    phrases related to personal thoughts, actions, or experiences

    oai_token-act-pair · gpt-3.5-turbo

    collective expressions of intention or action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raft
    -0.68
    rift
    -0.66
    ournal
    -0.66
    resa
    -0.64
    opolis
    -0.63
     Patt
    -0.61
    plings
    -0.59
     Cheong
    -0.58
     Prometheus
    -0.57
     Penguin
    -0.55
    POSITIVE LOGITS
     sorely
    0.93
     dearly
    0.72
     insiders
    0.68
     aspire
    0.67
    ģĸ
    0.65
     minds
    0.64
     behold
    0.63
    ¶ħ
    0.63
     ordinarily
    0.62
     wat
    0.62
    Activations Density 0.233%

    No Known Activations