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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. 3672
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    Explanations

    words related to effectiveness or successful strategies

    oai_token-act-pair · gpt-3.5-turbo

    references to effectiveness or successful results in various contexts

    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
    forest
    -0.74
    berries
    -0.71
    Hop
    -0.70
    pper
    -0.69
    hands
    -0.65
    IGH
    -0.65
    ifled
    -0.65
    umble
    -0.65
     Fever
    -0.65
    mere
    -0.64
    POSITIVE LOGITS
     altru
    1.03
     effectiveness
    0.81
    iveness
    0.80
    abulary
    0.78
    ative
    0.77
    aneously
    0.76
     deterrent
    0.76
    acies
    0.74
     antid
    0.74
     destro
    0.73
    Activations Density 0.019%

    No Known Activations