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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. 4-RES-JB
    11. 24453
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    Explanations

    words related to construction and building

    oai_token-act-pair · gpt-3.5-turbo

    terms related to construction and building professions

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

    No Comments

    Negative Logits
    rity
    -0.86
    enses
    -0.84
    umph
    -0.80
     Pradesh
    -0.79
    itions
    -0.79
    ories
    -0.75
    oral
    -0.70
    atile
    -0.68
    orses
    -0.67
    itals
    -0.67
    POSITIVE LOGITS
     extraord
    1.11
     beware
    1.04
    sonian
    0.94
    friend
    0.76
     builder
    0.74
     Beware
    0.74
    builder
    0.73
    ¯¯¯¯
    0.68
    abbit
    0.67
    operator
    0.65
    Activations Density 0.108%

    No Known Activations