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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. 3653
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    Explanations

    phrases related to things happening or unfolding

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the appearance or outcome of something

    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
    anwhile
    -0.72
    awar
    -0.68
    tymology
    -0.67
    berus
    -0.64
    shaw
    -0.63
    aim
    -0.63
    itals
    -0.61
    egg
    -0.61
    cest
    -0.61
    ascript
    -0.61
    POSITIVE LOGITS
    ãĤ¤
    0.74
    channelAvailability
    0.71
     808
    0.65
    çİĭ
    0.64
    ãĥĺãĥ©
    0.64
    ||||
    0.62
     GOODMAN
    0.62
    ç«
    0.62
     stink
    0.61
     positives
    0.60
    Activations Density 0.032%

    No Known Activations