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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. 6383
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    Explanations

    phrases related to refraining or abstaining from participation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to excuses and their usage

    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
    estial
    -0.80
    hill
    -0.65
     nutrit
    -0.64
     ILCS
    -0.63
    herical
    -0.63
    gall
    -0.63
    corn
    -0.62
     millisec
    -0.61
     Seym
    -0.61
    ogun
    -0.61
    POSITIVE LOGITS
    iously
    0.74
    ities
    0.74
    mentioned
    0.69
    urous
    0.66
     VIDE
    0.66
    duction
    0.65
     Bauer
    0.65
    tesy
    0.65
     excuses
    0.64
    hee
    0.63
    Activations Density 0.032%

    No Known Activations