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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 8120
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
    fax
    -0.84
     fingerprints
    -0.74
    ÄŁ
    -0.73
    ummer
    -0.62
    claw
    -0.61
    semble
    -0.61
     fingerprint
    -0.60
     probing
    -0.59
     lodged
    -0.59
     pond
    -0.58
    POSITIVE LOGITS
     virtues
    1.22
     superiority
    1.02
    iveness
    0.85
    iour
    0.82
     ideals
    0.78
     importance
    0.78
     advoc
    0.77
     accomplishments
    0.77
    aughs
    0.76
     dubious
    0.75
    Activations Density 0.301%

    No Known Activations