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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. 7-RES-JB
    11. 5217
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    INDEX
    Explanations

    actions followed by a consequence or result

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a sequence of actions or instructions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    than
    -0.72
    aez
    -0.66
    BAT
    -0.64
    venture
    -0.63
    oret
    -0.62
    QB
    -0.61
    WARN
    -0.61
    god
    -0.61
    toe
    -0.60
    cos
    -0.59
    POSITIVE LOGITS
     proceeded
    1.15
     proceed
    0.93
     secondly
    0.91
     succumb
    0.87
     promptly
    0.86
     proceeds
    0.84
     disappear
    0.82
     disappears
    0.81
     vanish
    0.78
     afterward
    0.78
    Activations Density 0.047%

    No Known Activations