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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. 4-RES-JB
    11. 19631
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    Explanations

    adjectives and verbs related to interpretations and descriptions

    oai_token-act-pair · gpt-3.5-turbo

    verbs indicating perception or observation of situations

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

    No Comments

    Negative Logits
    been
    -0.74
    tan
    -0.68
    angs
    -0.68
    oided
    -0.66
    heed
    -0.65
     [+]
    -0.65
    venge
    -0.64
    por
    -0.64
    arta
    -0.64
    veland
    -0.63
    POSITIVE LOGITS
    hes
    0.83
     tremend
    0.79
    hers
    0.77
     Pike
    0.71
    ĸļ
    0.70
     incon
    0.69
    nesday
    0.69
    ovych
    0.67
     abruptly
    0.65
    yrinth
    0.65
    Activations Density 0.351%

    No Known Activations