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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. 9-RES-JB
    11. 23687
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    Explanations

    references to hash-related terms such as "hash tags" or "hash power"

    oai_token-act-pair · gpt-3.5-turbo

    references to hash-related topics or terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ufact
    -0.72
     Patton
    -0.69
     Superior
    -0.69
    psey
    -0.67
    ials
    -0.65
    aunders
    -0.64
     Parish
    -0.64
    oplan
    -0.63
    apsed
    -0.63
     Ong
    -0.62
    POSITIVE LOGITS
    tags
    1.19
    tag
    1.05
    imoto
    1.00
    bang
    0.90
    cash
    0.90
    hash
    0.81
    mi
    0.76
    assium
    0.75
     hash
    0.74
     Hash
    0.73
    Activations Density 0.041%

    No Known Activations