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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. 8418
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    INDEX
    Explanations

    keywords associated with providing explanations or justifications

    oai_token-act-pair · gpt-3.5-turbo

    phrases explaining motivations or justifications

    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
     stocking
    -0.70
    annis
    -0.70
     puck
    -0.68
    KY
    -0.67
    ymph
    -0.67
    aeper
    -0.66
     helicop
    -0.65
     Roller
    -0.65
    avorite
    -0.65
    thus
    -0.65
    POSITIVE LOGITS
     why
    1.10
     WHY
    0.98
    why
    0.88
    abl
    0.83
     reason
    0.80
     rationale
    0.77
    usercontent
    0.76
     justifying
    0.75
    orial
    0.75
    ="#
    0.74
    Activations Density 0.025%

    No Known Activations