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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. 5161
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    INDEX
    Explanations

    instances of words related to transportation and logistics

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to "pickup" actions or logistics

    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
    ĸļ
    -0.86
    issance
    -0.78
    rency
    -0.70
    qus
    -0.65
     sanct
    -0.63
     Greenwich
    -0.62
     tumult
    -0.61
    ITNESS
    -0.60
    xual
    -0.60
    orescence
    -0.60
    POSITIVE LOGITS
    axe
    0.90
     grapes
    0.80
    jee
    0.77
    yip
    0.77
     berries
    0.73
     strawberries
    0.67
     apples
    0.66
     Chocobo
    0.66
    picking
    0.65
    alo
    0.65
    Activations Density 0.091%

    No Known Activations