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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. 9-RES-JB
    11. 7111
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    Explanations

    instances of someone making a significant impact or debut

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "make" in various forms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Fram
    -0.74
    heter
    -0.70
    bour
    -0.63
    lex
    -0.61
    hood
    -0.61
     interpreted
    -0.60
    entimes
    -0.60
     encouraged
    -0.59
     awaiting
    -0.57
     notwithstanding
    -0.55
    POSITIVE LOGITS
     landfall
    1.14
    hift
    1.08
     strides
    1.06
     headlines
    0.97
     sure
    0.81
     waves
    0.81
     appearances
    0.78
     cameo
    0.76
    ESCO
    0.74
     pilgr
    0.72
    Activations Density 0.139%

    No Known Activations