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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. 2-RES-JB
    11. 6233
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    Explanations

    phrases related to actions taken or consequences incurred

    oai_token-act-pair · gpt-3.5-turbo

    the opening parentheses in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    quished
    -0.74
     lull
    -0.73
    irds
    -0.71
     entitle
    -0.69
     flock
    -0.66
     wre
    -0.66
     pale
    -0.66
     handlers
    -0.64
     therap
    -0.64
     ris
    -0.63
    POSITIVE LOGITS
    sic
    1.36
    emphasis
    1.26
    ...)
    1.20
    see
    1.18
    possibly
    1.15
    including
    1.14
    formerly
    1.13
    ?)
    1.11
    which
    1.11
    although
    1.10
    Activations Density 0.206%

    No Known Activations