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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. 7842
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    Explanations

    words related to large or powerful entities or structures

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "meg" and its variations, indicating a focus on a specific subject or concept associated with that term

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    ãģį
    -0.76
    theless
    -0.66
    UCT
    -0.65
    xual
    -0.64
    velt
    -0.64
     Grounds
    -0.64
     Sense
    -0.63
    lde
    -0.63
     Taste
    -0.63
     Paradox
    -0.63
    POSITIVE LOGITS
    abyte
    1.35
    abytes
    1.33
    awatts
    1.14
    apixel
    1.12
    apolis
    1.03
    atron
    1.02
    atis
    0.99
    acity
    0.98
    aton
    0.96
    abases
    0.94
    Activations Density 0.024%

    No Known Activations