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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. 22500
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    Explanations

    the name "Sha" repeated in various contexts and sentences

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Sha" and its variations

    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
    ertodd
    -0.88
    ktop
    -0.76
    icable
    -0.74
    esan
    -0.72
    urate
    -0.68
    uses
    -0.66
    olesc
    -0.66
    icate
    -0.63
    uration
    -0.63
    icates
    -0.62
    POSITIVE LOGITS
    IELD
    1.01
    256
    0.85
    akespeare
    0.81
    ampoo
    0.79
    ORTS
    0.78
    rimp
    0.76
    apeshifter
    0.76
    rike
    0.76
    vel
    0.74
    mut
    0.74
    Activations Density 0.068%

    No Known Activations