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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. 10-RES-JB
    11. 12482
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    INDEX
    Explanations

    instances of the word 'some' followed by a description or noun

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "some" as well as references to varying conditions or types

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raid
    -0.80
    meet
    -0.73
    saw
    -0.70
    gon
    -0.67
    gypt
    -0.66
    vid
    -0.66
    vest
    -0.66
    batch
    -0.65
    ired
    -0.64
    atches
    -0.64
    POSITIVE LOGITS
     semblance
    1.58
     sort
    1.43
     kind
    1.25
     degree
    1.24
     form
    1.08
    place
    1.06
     indication
    1.03
     recourse
    0.95
     measure
    0.94
     residual
    0.93
    Activations Density 0.100%

    No Known Activations