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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. 9-RES-JB
    11. 7045
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    Explanations

    words, phrases, or sentences related to the impact of events or decisions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the consequences or effects of various actions or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    swick
    -0.78
    achelor
    -0.69
    cellaneous
    -0.69
    äºĶ
    -0.66
    vision
    -0.65
    gem
    -0.65
    ERO
    -0.64
    uble
    -0.64
    ALLY
    -0.62
    intend
    -0.62
    POSITIVE LOGITS
    effects
    0.97
    iveness
    0.87
     thereof
    0.83
    olation
    0.81
     of
    0.79
     impacts
    0.79
     spill
    0.76
     effects
    0.75
     fallout
    0.74
     impact
    0.74
    Activations Density 0.117%

    No Known Activations