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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. 0-RES-JB
    11. 16744
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    Explanations

    words related to strength or excellence

    oai_token-act-pair · gpt-3.5-turbo

    terms related to impressiveness and a range of oppressive and repressive contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     analog
    -0.63
     straw
    -0.63
     dried
    -0.62
    ********************************
    -0.62
     burnt
    -0.61
     kernels
    -0.61
     origin
    -0.60
    âĤ¬
    -0.59
     custom
    -0.58
     burned
    -0.58
    POSITIVE LOGITS
    ressive
    4.26
    ression
    2.52
    ressed
    2.15
    ressing
    1.92
    ress
    1.84
    ressor
    1.84
    resses
    1.70
    ulative
    1.31
    gressive
    1.18
    onential
    1.11
    Activations Density 0.011%

    No Known Activations