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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. 20083
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    INDEX
    Explanations

    descriptive adjectives or phrases related to the value or significance of something

    oai_token-act-pair · gpt-3.5-turbo

    descriptors associated with novelty and significance

    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
     Bridges
    -0.66
    ahime
    -0.65
    Ts
    -0.63
    OVER
    -0.59
     presumption
    -0.59
    agram
    -0.59
     Transcript
    -0.58
     portfolios
    -0.58
     allowances
    -0.58
     passports
    -0.57
    POSITIVE LOGITS
     happening
    1.12
     resembling
    0.94
     happened
    0.91
     happen
    0.89
     besides
    0.87
    inside
    0.84
     akin
    0.84
     transpired
    0.84
     happ
    0.82
    worldly
    0.82
    Activations Density 0.098%

    No Known Activations