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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    mentions of the word 'it'

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "it" across various contexts

    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
    ©¶æ
    -0.92
     destro
    -0.84
     proport
    -0.76
     eleph
    -0.75
     hypot
    -0.74
     gobl
    -0.69
     therap
    -0.68
     metaphor
    -0.66
     GEAR
    -0.66
    pher
    -0.65
    POSITIVE LOGITS
    ariat
    1.03
    uary
    0.95
    ocracy
    0.87
    urity
    0.85
    itude
    0.80
    itary
    0.79
    itute
    0.77
    ories
    0.76
    ilege
    0.75
    atory
    0.74
    Activations Density 0.022%

    No Known Activations