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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. 19014
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    Explanations

    conditional statements with a primary and backup plan

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing surprise or unexpected outcomes

    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
    arching
    -0.72
    cellaneous
    -0.64
    arily
    -0.64
    aled
    -0.63
    isSpecialOrderable
    -0.60
    è¦ļéĨĴ
    -0.60
    oreal
    -0.59
    Parameters
    -0.59
    ULAR
    -0.59
    eering
    -0.59
    POSITIVE LOGITS
     however
    0.99
     though
    0.85
     although
    0.84
     there
    0.79
     despite
    0.77
     moreover
    0.75
     somew
    0.75
     according
    0.73
     yes
    0.70
     unlike
    0.70
    Activations Density 0.122%

    No Known Activations