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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. 3-RES-JB
    11. 13424
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    Explanations

    mentions of numbered lists or bullet points at the start of sentences

    oai_token-act-pair · gpt-3.5-turbo

    instances of the letter "A"

    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
    aries
    -0.69
    falls
    -0.67
     envy
    -0.65
    },{"
    -0.63
    faces
    -0.62
     EVs
    -0.61
     pixels
    -0.59
     purposes
    -0.58
    email
    -0.57
    mods
    -0.57
    POSITIVE LOGITS
    cknow
    1.20
    usterity
    1.16
    chieve
    1.14
    cknowled
    1.09
    verages
    1.08
    gency
    1.08
    ircraft
    1.05
    UTH
    1.03
    ctors
    0.98
    ctions
    0.97
    Activations Density 0.088%

    No Known Activations