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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. 22784
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    Explanations

    phrases related to actions or activities that involve putting, such as "put the brakes on" or "put his past behind him"

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "put"

    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
    externalActionCode
    -0.97
    SPONSORED
    -0.77
    redits
    -0.69
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.65
    orthy
    -0.63
    reader
    -0.62
    VILLE
    -0.60
    otech
    -0.59
    antz
    -0.59
    ollower
    -0.58
    POSITIVE LOGITS
    TING
    1.19
    ting
    1.17
    ters
    1.11
    tin
    0.95
    ername
    0.95
    ter
    0.93
    tering
    0.84
    rid
    0.84
    tered
    0.83
    ted
    0.83
    Activations Density 0.016%

    No Known Activations