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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 14262
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    Explanations

    the word 'type' followed by a number, particularly 'type 9' and 'type 10'

    oai_token-act-pair · gpt-3.5-turbo

    phrases that reference different categories or classifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    romeda
    -0.72
    å§«
    -0.67
    olulu
    -0.66
    vernment
    -0.65
    ITED
    -0.65
    pload
    -0.65
    ernel
    -0.64
    borough
    -0.64
     Morning
    -0.63
     Liberties
    -0.62
    POSITIVE LOGITS
    faces
    1.21
    face
    1.16
    etter
    1.09
    casting
    0.98
    etting
    0.94
    ahead
    0.85
    cast
    0.77
    alias
    0.76
    classes
    0.75
    geist
    0.73
    Activations Density 0.020%

    No Known Activations