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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. 2-RES-JB
    6. 16181
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    INDEX
    Explanations

    references to snapshots or moments captured in time

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "snapshot" and its variations in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orney
    -0.77
    uct
    -0.75
    andi
    -0.72
    iant
    -0.72
    ricular
    -0.71
    ulhu
    -0.70
    endish
    -0.67
    onsense
    -0.65
    anguage
    -0.65
    ophers
    -0.65
    POSITIVE LOGITS
     snapshots
    1.28
     snapshot
    1.25
    shots
    1.03
    snap
    1.00
     Snap
    0.91
    Snap
    0.85
    shot
    0.81
    Shot
    0.79
    oleon
    0.78
    staking
    0.73
    Activations Density 0.009%

    No Known Activations