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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. 8950
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    INDEX
    Explanations

    phrases related to potential or likelihood

    oai_token-act-pair · gpt-3.5-turbo

    references to potential outcomes or scenarios

    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
    ogie
    -0.89
    artney
    -0.79
    gar
    -0.78
    ging
    -0.74
    eye
    -0.74
    oves
    -0.72
    cipl
    -0.72
    bey
    -0.72
    waters
    -0.71
    gall
    -0.70
    POSITIVE LOGITS
    ossibility
    0.98
     possibility
    0.79
     confir
    0.78
     feas
    0.75
     pron
    0.75
    izons
    0.72
     Heller
    0.71
    llor
    0.71
    finder
    0.70
     horizon
    0.70
    Activations Density 0.016%

    No Known Activations