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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. 23188
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    INDEX
    Explanations

    phrases related to specific events or moments

    oai_token-act-pair · gpt-3.5-turbo

    references to significant events or occasions

    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
    cott
    -0.79
    hemat
    -0.75
    leaf
    -0.65
    gon
    -0.65
    gebra
    -0.64
    haar
    -0.63
    yah
    -0.60
    overty
    -0.58
    axter
    -0.57
    atto
    -0.57
    POSITIVE LOGITS
     occasions
    0.84
     occasion
    0.83
    ãĥŀ
    0.76
    aneous
    0.75
    ful
    0.73
    ebin
    0.72
     misunder
    0.72
    uitous
    0.71
    intendent
    0.70
    ional
    0.70
    Activations Density 0.009%

    No Known Activations