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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. 2-RES-JB
    11. 9476
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    Explanations

    ways at looking and dealing with various situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to different scenarios or circumstances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    roe
    -0.83
    ISSION
    -0.75
    rium
    -0.72
    rik
    -0.72
    head
    -0.71
    mission
    -0.69
    bern
    -0.67
    sub
    -0.67
    uv
    -0.66
    CAST
    -0.66
    POSITIVE LOGITS
     situations
    1.15
    uations
    0.99
     scenarios
    0.94
    afety
    0.94
     involving
    0.90
     Situation
    0.85
     circumstances
    0.80
     predic
    0.79
    vati
    0.78
    hooting
    0.77
    Activations Density 0.015%

    No Known Activations