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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. 11284
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    INDEX
    Explanations

    verbs indicating a desire or intention to perform an action

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to intentions and actions

    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
    soever
    -0.77
    ABC
    -0.66
     pse
    -0.66
    rir
    -0.65
     transpired
    -0.62
     permitting
    -0.60
     Laf
    -0.60
     forecast
    -0.58
     indices
    -0.57
     guiActiveUn
    -0.57
    POSITIVE LOGITS
    uate
    0.77
    thood
    0.75
     someday
    0.71
    anything
    0.69
    ezvous
    0.66
     ASAP
    0.65
    dress
    0.64
    uctions
    0.61
    oreal
    0.61
    ictionary
    0.61
    Activations Density 0.241%

    No Known Activations