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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. 17318
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    INDEX
    Explanations

    measurements such as time, distance or currency

    oai_token-act-pair · gpt-3.5-turbo

    specific entities, particularly organizations and measurements

    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
    yip
    -0.57
    udeau
    -0.57
    Balt
    -0.56
     tide
    -0.55
    Ping
    -0.54
    Paper
    -0.54
    isSpecialOrderable
    -0.53
    Magn
    -0.53
     Nieto
    -0.52
    INTON
    -0.51
    POSITIVE LOGITS
    sic
    0.69
    earances
    0.61
    ttes
    0.59
    ©¶æ¥µ
    0.58
     coli
    0.58
     Happiness
    0.56
     Massacre
    0.54
     Elements
    0.54
    052
    0.54
     Detail
    0.53
    Activations Density 0.969%

    No Known Activations