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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. 6-RES-JB
    6. 1602
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    Explanations

    phrases describing a person or team's recent performance or accomplishments

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate recovery or return from a previous state or event

    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
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    Negative Logits
    Enlarge
    -0.79
    %]
    -0.74
    amount
    -0.71
    ilation
    -0.70
    RL
    -0.68
    ãĤ±
    -0.68
    OTT
    -0.66
    MX
    -0.66
    KS
    -0.65
    jad
    -0.64
    POSITIVE LOGITS
    site
    0.75
    ibaba
    0.73
    loaded
    0.71
    screen
    0.71
     pist
    0.69
     leash
    0.68
     Broadway
    0.67
    stage
    0.66
    loading
    0.66
     fumes
    0.64
    Activations Density 0.022%

    No Known Activations