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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. 7-RES-JB
    11. 22758
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    Explanations

    phrases related to the central or most important aspect of a concept or situation

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the central or essential idea of a subject

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    grad
    -0.71
    osponsors
    -0.69
    /-
    -0.64
    ruciating
    -0.63
     Cooper
    -0.61
     spores
    -0.60
    endi
    -0.60
     Fell
    -0.59
     Buff
    -0.59
    nery
    -0.59
    POSITIVE LOGITS
    strings
    0.87
    waters
    0.86
    plates
    0.79
    most
    0.77
    gro
    0.76
     è£ıè
    0.72
    stone
    0.71
    GROUND
    0.71
    stones
    0.71
    verse
    0.70
    Activations Density 0.039%

    No Known Activations