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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. 8-RES-JB
    11. 24339
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    Explanations

    words related to problems and solutions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to problems and challenges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anooga
    -0.74
    "],"
    -0.69
    sic
    -0.67
    irm
    -0.65
    upon
    -0.65
    Tonight
    -0.63
    @
    -0.63
    )."
    -0.63
     however
    -0.61
     Nutr
    -0.61
    POSITIVE LOGITS
     overe
    0.71
     underestimated
    0.71
     perce
    0.70
     finite
    0.69
    */(
    0.69
     cheaply
    0.69
     fundamentally
    0.68
     asymm
    0.68
     sufficiently
    0.67
     incentiv
    0.67
    Activations Density 1.079%

    No Known Activations