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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. 1-RES-JB
    11. 2256
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    INDEX
    Explanations

    locations

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Dim"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    GROUND
    -0.85
    ships
    -0.79
    CLASS
    -0.79
    OAD
    -0.78
    ttes
    -0.77
    FUL
    -0.77
    CRIP
    -0.77
    OUP
    -0.75
    LCS
    -0.74
    OOL
    -0.74
    POSITIVE LOGITS
    inished
    1.56
    ension
    1.12
    itri
    1.12
    ensions
    1.12
     Dim
    1.11
    ethy
    1.07
    dim
    1.07
    anian
    0.94
    endum
    0.90
    orph
    0.90
    Activations Density 0.015%

    No Known Activations