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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. 6-RES-JB
    11. 7414
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    Explanations

    phrases related to performance evaluation or judgment

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating performance quality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ory
    -0.78
    adena
    -0.75
    ategory
    -0.73
    rush
    -0.71
    hent
    -0.68
    ripp
    -0.67
    heon
    -0.67
    hyde
    -0.66
    ruce
    -0.66
    mitting
    -0.65
    POSITIVE LOGITS
     enough
    1.10
    enough
    1.00
     Enough
    0.82
     behaved
    0.80
    esley
    0.78
     suited
    0.71
     margins
    0.70
    baum
    0.67
     Gael
    0.67
    espie
    0.67
    Activations Density 0.030%

    No Known Activations