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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. 14059
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    INDEX
    Explanations

    phrases related to retribution or confrontation

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "rep" or references to repetition

    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
     Firefly
    -0.71
     Archdemon
    -0.68
     Carbuncle
    -0.67
     Dragons
    -0.66
     Conditions
    -0.66
     Aval
    -0.66
     Heaven
    -0.65
     Kinnikuman
    -0.64
     Coyotes
    -0.64
     Hastings
    -0.63
    POSITIVE LOGITS
    ublic
    1.43
    rep
    1.26
    atri
    1.14
    resents
    1.14
    orters
    0.98
    arations
    0.98
    lict
    0.98
    onse
    0.98
    ribut
    0.97
    rint
    0.93
    Activations Density 0.005%

    No Known Activations