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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    references to a specific location or person named "Rock" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "Rock" in various contexts

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

    No Comments

    Negative Logits
     sidx
    -0.77
     destro
    -0.76
     aver
    -0.73
    URES
    -0.72
    terday
    -0.72
     Chandra
    -0.72
     confir
    -0.69
     proc
    -0.65
     reper
    -0.65
    BILITIES
    -0.65
    POSITIVE LOGITS
    ledge
    1.12
    castle
    1.02
    erness
    1.00
    Rock
    0.97
    ford
    0.95
    ingham
    0.94
    ete
    0.92
    stars
    0.91
     Rock
    0.89
    berry
    0.87
    Activations Density 0.010%

    No Known Activations