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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. 4-RES-JB
    11. 6560
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to the frequency of events or occurrences

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

    No Comments

    Negative Logits
    ACTED
    -0.75
    atche
    -0.73
    åĤ
    -0.72
    roots
    -0.72
    CDC
    -0.71
    kamp
    -0.69
    shi
    -0.68
    iants
    -0.68
    rets
    -0.68
    Recomm
    -0.67
    POSITIVE LOGITS
     bouts
    1.06
     glimps
    1.00
     occasional
    0.93
    etheless
    0.91
     occurrence
    0.90
     commer
    0.84
     occurrences
    0.84
     exceptions
    0.82
     appearances
    0.81
    pmwiki
    0.81
    Activations Density 0.009%

    No Known Activations