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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. 7-RES-JB
    11. 14158
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    INDEX
    Explanations

    information related to specific movies, sports events, and locations

    oai_token-act-pair · gpt-3.5-turbo

    specific named entities or titles, particularly those associated with popular culture or media

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    cipled
    -0.60
    Asset
    -0.59
    zsche
    -0.54
     Quote
    -0.54
     âĵĺ
    -0.52
    utz
    -0.52
    hirt
    -0.51
    ĺħ
    -0.51
    alien
    -0.51
    ervative
    -0.49
    POSITIVE LOGITS
     lockout
    0.70
     curfew
    0.69
    )).
    0.66
     cycle
    0.62
     checkpoint
    0.62
     simul
    0.61
     countdown
    0.61
     televised
    0.59
     phases
    0.59
     procession
    0.58
    Activations Density 1.452%

    No Known Activations