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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. 11-RES-JB
    11. 1796
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    Explanations

    words related to names or titles of individuals

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals or entities associated with a notable context or event

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Clover
    -0.65
     imperative
    -0.63
     silent
    -0.62
     Calder
    -0.61
     herald
    -0.57
     pim
    -0.56
     bec
    -0.55
     handsome
    -0.54
     failing
    -0.54
     avail
    -0.53
    POSITIVE LOGITS
    pta
    1.04
    ecast
    0.92
    oku
    0.89
    atoon
    0.88
    ivas
    0.85
    adic
    0.84
    atchewan
    0.82
    othal
    0.77
    egu
    0.77
    inx
    0.76
    Activations Density 0.116%

    No Known Activations