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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. 22593
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    Explanations

    mentions of people's names or identifiers

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific suffixes or forms in names or titles, particularly in relation to 'iat' and 'arat'

    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
     Angry
    -0.78
    Snow
    -0.66
    FTWARE
    -0.64
    plet
    -0.61
    holes
    -0.60
    Agent
    -0.59
    âĵĺ
    -0.59
    houses
    -0.58
     Grape
    -0.57
     Valkyrie
    -0.57
    POSITIVE LOGITS
    ypes
    1.05
    rals
    0.92
    rix
    0.89
    ocol
    0.88
    rition
    0.87
    ossal
    0.86
    ype
    0.85
    oreal
    0.84
    anamo
    0.84
    zsche
    0.84
    Activations Density 0.008%

    No Known Activations