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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. 2-RES-JB
    11. 920
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    INDEX
    Explanations

    mentions of a specific term or entity, "ferm"

    oai_token-act-pair · gpt-3.5-turbo

    the sequence "erm" within words

    oai_token-act-pair · gpt-4-turbo

    occurrences of the substring "erm" which seems to be related to scientific or technical terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vati
    -0.81
    eve
    -0.74
    ciating
    -0.70
    ched
    -0.68
    grave
    -0.67
    cies
    -0.63
    66666666
    -0.62
     kitchens
    -0.62
    verted
    -0.62
    figured
    -0.61
    POSITIVE LOGITS
    erm
    0.92
    ission
    0.83
    obile
    0.82
    otor
    0.81
    issions
    0.80
    ilk
    0.80
    ont
    0.80
    uda
    0.79
    agnetic
    0.77
    andom
    0.77
    Activations Density 0.008%

    No Known Activations