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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. 7-RES-JB
    11. 14647
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    Explanations

    verbs and nouns related to achieving success or popularity

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to successful or popular media, particularly in music and film

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    æ©Ł
    -0.73
    pires
    -0.73
    ources
    -0.64
     Warm
    -0.63
    æĥ
    -0.60
    UTH
    -0.60
    umbn
    -0.60
    etheless
    -0.60
     Philos
    -0.60
    orld
    -0.60
    POSITIVE LOGITS
    ched
    1.15
    achi
    1.09
    chens
    1.09
    ches
    1.06
    ters
    0.96
    ting
    0.92
    box
    0.92
    ted
    0.89
    tle
    0.88
    boxes
    0.86
    Activations Density 0.033%

    No Known Activations