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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. 3-RES-JB
    11. 24021
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    Explanations

    mentions of specific names preceded by a verb 'Was'

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "was"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    otic
    -0.71
     resonance
    -0.69
     Relief
    -0.66
    ridges
    -0.62
     Chel
    -0.61
     Scotia
    -0.61
    rouse
    -0.61
     breeds
    -0.60
     Negro
    -0.59
     sexes
    -0.58
    POSITIVE LOGITS
    hers
    0.97
    peria
    0.94
    nt
    0.94
    n
    0.92
    abi
    0.87
    awa
    0.86
    aii
    0.84
    hes
    0.83
    wolves
    0.81
    cus
    0.81
    Activations Density 0.029%

    No Known Activations