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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. 0-RES-JB
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    Explanations

    texts discussing admissions or acknowledgments of various kinds

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "admission" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pher
    -0.74
    wire
    -0.64
    ases
    -0.63
     Smooth
    -0.62
    ragon
    -0.62
    fore
    -0.62
    storms
    -0.61
     Commando
    -0.60
    encer
    -0.60
    ient
    -0.60
    POSITIVE LOGITS
     admission
    4.14
     Admission
    2.73
     admissions
    2.67
     admitting
    1.71
     admitted
    1.69
     confession
    1.58
     entrance
    1.53
     acknowledgment
    1.50
     concession
    1.48
     admit
    1.47
    Activations Density 0.006%

    No Known Activations