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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. 17631
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    Explanations

    phrases related to moving or direction change, often involving a significant decision or action

    oai_token-act-pair · gpt-3.5-turbo

    phrases relating to rejection or denial

    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
    erved
    -0.73
    insk
    -0.66
    arching
    -0.65
    tumblr
    -0.65
    anwhile
    -0.64
    cliffe
    -0.64
    ask
    -0.64
    puted
    -0.63
     elaborated
    -0.63
    accompan
    -0.61
    POSITIVE LOGITS
     rout
    0.68
    Connector
    0.66
    shift
    0.66
     runoff
    0.65
     lights
    0.64
    ³³³
    0.62
    wagen
    0.61
    rette
    0.60
     deaf
    0.60
     reel
    0.59
    Activations Density 0.134%

    No Known Activations