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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. 6-RES-JB
    11. 15192
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    Explanations

    phrases related to do-it-yourself (DIY) projects and activities

    oai_token-act-pair · gpt-3.5-turbo

    references to digital entities or identifiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rooms
    -0.87
    wagen
    -0.81
    theless
    -0.78
    rules
    -0.76
    deck
    -0.75
    pool
    -0.73
    boards
    -0.73
    woman
    -0.73
    mans
    -0.73
    nets
    -0.72
    POSITIVE LOGITS
    RECT
    1.32
    KE
    1.29
    PS
    1.22
    BA
    1.21
    AMI
    1.19
    ANCE
    1.17
    BS
    1.17
    BI
    1.17
    YA
    1.16
    OUS
    1.12
    Activations Density 0.030%

    No Known Activations