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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. 9-RES-JB
    11. 3362
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    Explanations

    references to a specific name ("Dou") in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    the name "Douglass" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.85
    ocamp
    -0.66
     aligned
    -0.65
     IST
    -0.64
     guiActiveUnfocused
    -0.62
    sburgh
    -0.61
     Blackwell
    -0.61
     Prosper
    -0.60
     Span
    -0.58
    WP
    -0.58
    POSITIVE LOGITS
    bles
    1.33
    bled
    1.19
    bling
    1.18
    bt
    1.16
    glass
    1.07
    glas
    1.01
    blers
    1.00
    bler
    0.97
    plet
    0.93
    plets
    0.91
    Activations Density 0.043%

    No Known Activations