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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. 13561
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    Explanations

    words and phrases related to meeting or exceeding expectations

    oai_token-act-pair · gpt-3.5-turbo

    phrases associated with unmet expectations

    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
     contrace
    -0.87
    etsk
    -0.83
    MRI
    -0.71
    flush
    -0.64
    oving
    -0.63
    less
    -0.62
     circumference
    -0.62
    atis
    -0.60
    bands
    -0.59
    ramer
    -0.59
    POSITIVE LOGITS
     expectations
    1.07
     hype
    0.86
     expectation
    0.84
     stereotypes
    0.82
     billing
    0.76
     adolesc
    0.75
     obligations
    0.74
     reputation
    0.73
     prophe
    0.71
     ideals
    0.70
    Activations Density 0.067%

    No Known Activations